Publications
A. Parts of Books and Edited Books.
1. Arkun, Y., Littman, H. and Morgan, M. H., “Modeling of Spouted Bed Chemical Reactors,” in Encyclopedia of Fluid Mechanics. Vol 4. Solids and Gas-Solids Flow, pages 1089-1127, (N. P. Cheremisinoff, Ed.), Gulf Publishing Co. (1986).
2. McAvoy, T. J., Arkun,Y. and Zafiriou, E. (Eds.), Model Based Process Control, Proceedings of the IFAC Workshop, Atlanta, June (1988).
3. Calvet, J-Paul. and Arkun, Y., “Stabilization of Feedback Linearized Nonlinear Processes Under Bounded Perturbations,” in Recent Advances in Robust Control, pages 320-325, (P. Dorato and R. K. Yedavalli, Ed.), New York: IEEE Press (1990).
4. Arkun, Y. (Ed.), New Trends in Process Control, Special Issue in Computers and Chemical Engineering, vol 14, no.4/5, May (1990).
5. Arkun, Y. and Ray, W. H. (Eds), Chemical Process Control-IV, Proceedings of the Fourth International Conference on Chemical Process Control, AIChE (1991).
6. Arkun, Y and Hernandez, E., “Control of Nonlinear Systems Using Input Output Information”, Methods of Model Based Process Control, R. Berber (Ed.), NATO ASI Series, Kluwer Academic Publishers (1994).
7. Banerjee, A., Arkun, Y., Pearson, R., and Ogunnaike, B., “H-infinity Control of Nonlinear Processes Using Multiple Linear Models” in Local Approaches to Nonlinear Modeling
and Control, (R. Murray-Smith and T. A. Johansen, Eds.), Taylor & Francis, London (1996).
8. Arkun, Y. (Ed.), Special Issue: ADCHEM97- Advanced Control of Chemical Processes, Journal of Process Control (1998).
9. Arkun, Y., Banerjee, A. and Lakshmanan, N.M., “Self – Scheduling MPC using LPV Models”, Nonlinear Model Based Control, R. Berber (Ed.), NATO ASI Series, Kluwer Academic Publishers (1998).
10. Engell, S. and Arkun, Y., Eds. ADCHEM09 Proceedings (International Symposium on Advanced Control of Chemical Processes), IFAC Publication, 2010. 10. Engell, S. and Arkun, Y., Eds. Special Issue on “ADCHEM 2009”, of Journal of Process Control, Volume 20, Issue 9, 2010.
B. Papers
1. Morari, M., Arkun, Y. and Stephanopoulos, G., “Studies in the Synthesis of Control Structures for Chemical
Processes, Part I: Formulation of the Problem. Process Decomposition and the Classification of the
Control Task, Analysis of the Optimizing Control Structures,” AIChE J,vol. 26, no. 2, pp. 220, 1980.
2. Arkun, Y. and Stephanopoulos, G., “Part IV: Design of Steady-State Optimizing Control Structures for
Chemical Process Units,” AIChE J, vol. 26, no. 6, pp. 675, 1980.
3. Arkun, Y. and Stephanopoulos, G., “Part V: Design of Steady-State Optimizing Control Structures for Integrated Chemical Plants,” AIChE J. ,vol. 27, no. 5, pp. 779, 1981.
4. Etzkorn, W. and Arkun, Y., “Computer Aided Operability Analysis via Interactive Graphics,” in Applications of Computer Graphics in Chem. Eng., Computers and Chemical Eng., vol. 5, no. 4, pp. 233, 1981.
5. Smith, K., Arkun, Y. and Littman, H., “Studies on Modeling and Control of Spouted Bed Reactors. Part I: Reactor Modeling,” Chem. Eng. Science, vol. 37, no. 4, pp. 567, 1982.
6. Arkun, Y., Smith, K. and Sawyer, G., “Part II: Dynamic Analysis and Control,” Chem. Eng. Science, vol. 38, no pp. 897, 1983.
7. Arkun, Y. and Ramakrishnan, S., “Bounds on the Optimum Quadratic Cost of Structure-Constrained Controllers,” IEEE Trans. on Automatic Control, vol. AC 27, no. 9, pp. 924, 1983.
8. Palazoglu, A., Manousiouthakis, B. and Arkun, Y., “Robustness Analysis of Process Control Systems: A Case Study
of Decoupling Control in Distillation,” I&EC Proc. Des. Dev., vol. 23, no. 1, pp. 93-101, 1984.
9. Arkun, Y. and Ramakrishnan, S., “Structural Sensitivity Analysis in the Synthesis of Chemical Process Control Systems,” Chem. Eng. Science, vol. 39, p. 1167-1179, 1984.
10. Arkun, Y., Manousiouthakis, B. and Putz, P., “Robust Nyquist Array Methodology: A New Theoretical Framework
for Analysis and Design of Robust Multivariable Feedback Systems”, International J. of Control, vol.40, no.4, pp. 603-629, 1984.
11. Palazoglu, A., Manousiouthakis, B. and Arkun, Y., “Design of Chemical Plants with Improved Dynamic Operability in an Environment of Uncertainty,” I&EC Proc. Des. Dev., vol. 24, pp. 802-813, 1985.
12. Arkun, Y., Manousiouthakis, B., Palazoglu, A., Guruswamy, V. and Putz, P., “Computer-Aided Analysis and Design of Robust Multivariable Control Systems for Chemical Processes,” Computers and Chem. Eng. vol. 9, no. 1, pp. 27-59, 1985.
13. Palazoglu, A. and Arkun, Y., “Robust Tuning of Process Control Systems Using Singular Values and Their
Sensitivities,” Chem. Eng. Comm. vol. 37, pp. 315-331, 1985.
14. Manousiouthakis, B., Savage, B. and Arkun, Y., “Synthesis of Decentralized Process Control Structures using the Concept of Block Relative Gain,” AIChE J., pp. 991-1003, 1986.
15. Arkun, Y., Hollett, J., Canney, W. M. and Morari, M., “Experimental Study of Internal Model Control,” I&EC Proc. Des. Dev., vol 25, pp. 102-108, 1986.
16. Palazoglu, A. and Arkun, Y., “Design of Chemical Plants in the Presence of Process Uncertainty: A
Multiobjective Approach,” Comp. and Chem. Eng. ,vol. 10, pp. 567-575, 1986.
17. Palazoglu, A. and Arkun, Y., “Design of Chemical Plants with Multiregime Capabilities and Robust
Dynamic Operability Characteristics,” Comp. and Chem. Eng. vol. 11, no. 3, pp. 205-216, 1987.
18. Manousiouthakis, V. and Arkun, Y., “A Hybrid Approach for the Design of Robust Control Systems,” Int. J. of Control , vol. 45, no. 6. pp. 2203-2220, 1987.
19. Arkun, Y., “Dynamic Block Relative Gain and Its Connection with Stability and Performance of Decentralized Control Structures,” Int. J. of Control, vol. 46, no. 4, pp. 1187-1193 , 1987.
20. Arkun, Y. and Morgan, C. O., “On the Use of the Structured Singular Value for Robustness Analysis of Distillation Column Control,” Comp. and Chem. Eng. vol. 12, no. 4, p. 303-306, 1988.
21. Arkun, Y., “The Relative Sensitivity. A Dynamic Closed-loop Interaction Measure and a Design Tool,” AIChE J.
vol. 34, no. 4, pp. 672-675, 1988.
22. Calvet, J. P. and Arkun, Y., “Feedforward and Feedback Linearization of Nonlinear Systems with Disturbances,”
Int. J. Control, vol. 48, no.4, pp. 1551-1559, 1988.
23. Calvet, J-P. and Arkun,Y., “Feedforward and Feedback Linearization of Nonlinear Systems and Its Implementation
Using IMC,” I&EC Research, vol. 27, pp 1822-31 1988.
24. Arkun, Y., Charos, G. and Reeves, D., “A Graduate Course on Model Predictive Control,” Chem. Eng. Ed., XXII(4), pp. 178-183, 1988.
25. Reeves, D. and Arkun, Y., “Interaction Measures for Nonsquare Decentralized Control Structures,” AIChE J. , pp. 603, 1989.
26. Chiu, M. S. and Arkun, Y., “Parametrization of All Stabilizing IMC Controllers for Unstable Plants,” Int. J. of Control, vol. 51, no. 2, pp. 329-340, 1990.
27. Calvet, J. P. and Arkun, Y., “Design of P and PI Stabilizing Controllers for Quasi Linear Systems,” Comp. & Chem. Eng. ,vol 14,no. 4/5, pp. 415-427, May 1990.
28. Chiu, M. S. and Arkun, Y., “Decentralized Control Structure Selection Based on Integrity Considerations,” I&EC Research,vol. 29, no.3 , pp. 369-373 , 1990.
29. Arkun, Y. and Downs, J., “A General Method to Calculate Input-Output Gains and The Relative Gain Array for Integrating Processes,” Comp. & Chem. Eng., vol. 14,No. 10, pp. 1101-1110, 1990.
30. Charos, G., Arkun, Y. and Taylor, R., “Model Predicitive Constrained Control of an Industial Lime
Kiln,” TAPPI J., pp. 203-211, Feb. 1991.
31. Chiu, M-S. and Arkun,Y., “A New Result on Relative Gain Array, Niederlinski Index and Decentralized Stability
Condition: 2×2 Plant Cases,” Automatica pp. 419-421,vol 27, no.2, March 1991.
32. Hernandez, E. and Arkun,Y., “Design of Pole Placement Controllers for Systems Described by Two-Dimensional Models,” Chem.Eng.Science, Vol. 47, N0. 2, pp297-310, 1992.
33. Peterson, T., Hernandez, E., Arkun ,Y. and Schork, J.F., “A Nonlinear DMC Algorithm and Its Application to a
Semi-batch Polymerization Reactor,” Chem. Eng. Science, Vol. 47, No.4, pp. 737-753, 1992.
34. Hernandez, E. and Arkun,Y., “Study of the Control Relevant Properties of Backpropagation Neural
Net Models of Nonlinear Dynamical Sytems,” Comp. and Chem. Engng. , Vol. 16, No. 4, pp. 227-240, 1992.
35. Chiu, M-S. and Arkun,Y., “A Methodology for Sequential Design of Robust Decentralized Control
Systems,” Automatica, Vol. 28, No.5, pp. 997-1001,1992
36. Hook, B. D., Littman, H , Morgan, M and Arkun, Y., “A Priori Modelling of an Adiabatic Spouted Bed
Catalytic Reactor,” Canadian J. of Chem. Eng., Vol 70, pp. 966-982, 1992.
37. Arkun,Y. and Calvet, J-P., “Robust Stabilization of Input /Output Linearizable Systems Under Uncertainty and
Disturbances,” AIChE J., Vol. 38, No.8, pp. 1145-1156, 1992.
38. Charos, G. N. and Arkun, Y., “ A Decentralized Quadratic Dynamic Matrix Control Algorithm,” Journal of Proces Control, pp. 75-83, 1993.
39. Hernandez, E. and Arkun,Y. , “Control of Nonlinear Systems Using Polynomial ARMA Models,” AIChE
J., Vol. 39, No. 3, pp. 446, 1993.
40. Hernandez, E. and Arkun,Y. , “On the Global Solution to Nonlinear Model Predictive Control Algorithms which use Polynomial Models,” Computers and chem Engng, Vol. 18, No.6, pp. 533-536, 1994.
41. Banerjee, A. and Arkun,Y., “Control Configuration Design as Applied to Tenneessee Eastmant Plant-Wide Control Problem,” Computers and Chem Engng, Vol. 19, No. 4, pp. 453-480, 1995.
42. Sriniwas, G. R., Arkun,Y., Chien, I-L. and Ogunnaike ,B. A., “Identification and Control of a High-Purity
Distillation Column: A Case Study,” J. of Process Control, Vol.5, No. 3, pp 149-162, 1995.
43. Sriniwas, G. R., Arkun,Y. and Schork, F. J., “Estimation and Control of an – Olefin Polymerization Reactor,”
J. of Process Control, Vol. 5, No. 5, pp 303-313, 1995.
44. Hernandez, E. and Arkun,Y. , “Stability of Nonlinear Polynomial ARMA Models and Their Inverse,” Int. J. of
Control, Vol. 63, No.5, 885-906, 1996.
45. Sriniwas, G. R. and Arkun,Y., “A Global Solution to the Nonlinear Model Predictive Control Algorithms Using Polynomial ARX Models,” Computers and Chem Engng, Vol. 21, No.4, 431-439, 1997.
46. Sriniwas, G. R. and Arkun,Y., “Control of the Tennessee-Eastman Process using Input-Output Models,” J. of Process Control, pp 387-400, 1997.
47. Rigopoulos, A., Arkun, Y. and Kayihan, F., “Identification of Full Profile Disturbance Models for Sheet Forming Processes,” AIChE J., Vol. 43, No. 3, pp 727-740,1997.
48. Rigopoulos, A., Arkun, Y. and Kayihan, F., “Control Relevant Disturbance Modeling of Paper Machine Full Profile Properties Using Adaptive PCA,” Pulp & Paper Canada, 98:11, 42-45, 1997.
49. Banerjee, A. , Arkun, Y., Pearson, R. and Ogunnaike, B., “ Estimation of Nonlinear Systems using Linear
Multiple Models,” AIChE, Vol. 43, pp 1204-1226, 1997.
50. Rigopoulos, A. and Y. Arkun, “Pricipal Component Analysis in Estimation and Control of Paper Machines,”
Computers chem. Engng Vol. 20, Suppl., pp. S1059-1064, 1996.
51. Arkun, Y. and Kayihan, F., “A Novel Approach to Full CD Profile Control of Sheet Forming Processes, Computers and chem Engng,” Vol. 22, No. 7-8, pp.945-962, 1998.
52. Banerjee, A. and Arkun, Y., “Model Predictive Control of Plant Transitions using a New Identification Technique
for Interpolating Nonlinear Models,” Journal of Process Control, Vol. 8, Nos.5-6, pp. 441-457, 1998.
53. Lee, T. K., Chiu, M-S. and Arkun,Y., “An Interaction Measure for the Selection of Partially Decentralized Control Structures,” I&EC Research, Vol. 37, No. 12, p 4734, 1998.
54. Lakshmanan, N. and Arkun, Y., “Estimation and Control of Batch Processes using Multiple Models”,
International J. of Control. vol. 72, No. 7/8, 659-675, 1999.
55. Yaohui Lu and Yaman Arkun, “Quasi-min-max MPC Algorithms for LPV Systems, Automatica,” vol. 36 (4), Pages 527-540, 2000.
56. Rigopoulos, A. and Y. Arkun, “KLE-(V)AR: A New Subspace Identification Technique with Application to Sheet Forming Processes,” Journal of Process Control, 11 (6) pp. 679-698, 2001.
57. Haznedar, B. and Arkun, Y., “Single and Multiple Property Control of Sheet Forming Processes via Reduced Order Infinite Horizon MPC Algorithm,” Journal of Process Control, Vol. 12/1, pp. 175-192, 2001.
58. Yaohui Lu and Arkun, Y., “A Scheduling Quasi-minmax Model Predictive Control Algorithm for Nonlinear
Systems”, J. of Process Control, 12, pp. 589-604, 2002.
59. McAvoy, T., Chen, R., Robinson, D. and Arkun, Y., “A New Approach to Defining a Dynamic Relative Gain”,
Control Eng. Practice, Vol. 11, Issue 8, 907-914, 2003.
60. Galan, O., Romagnoli, J.A., Palazoğlu, A. and Arkun, Y., “The Gap Metric Concept and Implications for Multilinear
Model Based Controller Design,” Ind. Eng. Chem. Res., 42, 2189-2197, 2003
61. Yurtsever, E., Palazoğlu, A. and Yaman Arkun “Conformational Similarities in Isomerization Dynamics of Clusters,” The Journal of Physical Chemistry. 107(31) pp 6025 – 6031, 2003
62. Rigopoulos, A. and Arkun, Y., “Reduced Order Controller Design for Sheet Forming Processes, ,” IEEE
Transactions on Control Systems Technology, Volume: 11 Issue: 5 , Page(s): 746 -756, Sept. 2003.
63. Palazoğlu, A., Gürsoy, A., Arkun, Y. and B. Erman, “Folding Dynamics of Proteins from Denatured to Native State: Principal Component Analysis”, J. of Comp.Biology, 11 (6): 1149-1168, 2004.
64. Lu, Y., Arkun,Y. and A. Palazoğlu, “Real-time Application of Scheduling Quasi-Min-Max Model Predictive Control to a Bench-scale Neutralization Reactor”, I&EC Research, 43, 2730-2735, 2004.
65. Aslan, E., Çamurdan, M., Palazoğlu, A. and Arkun, Y., “Multi-Model Scheduling Control of Nonlinear Systems
Using Gap Metric”, I&EC Research, 43, 8275-8283, 2004.
66. Guner, U., Arkun, Y., and Erman, B., “Optimum Folding Pathways of Proteins. Their Determination and
Properties”, J. of Phys. Chem., 124, 134911, 2006
67. Mestan, E., Turkay, M. and Arkun, Y., “Optimization of Operations in Supply Chain Systems Using Hybrid Systems
Approach and Model Predictive Control”, I&EC Research, 45, 6493-6503, 2006.
68. Senturk, S., Baday, S., Arkun, Y. and Erman, B., “Optimum Foldıng Pathways for Growing Protein Chains”, J. Phys. Biol. 4, 305-316, 2007.
69. Baday, S., Arkun, Y. and Erman, B., “Determination of Pair-wise Inter-residue Interaction Forces from Folding
Pathways and their Implementation in Coarse-Grained Folding Prediction”, Phys. Chem. Chem. Phys.11, 1949-
1961, 2009.
70. Arkun, Y., “Systems Thinking and Process Control Viewpoint for Academic Administration: Toward a Learning and Continuously Improving System”, CACHE News, Summer 2009.
71. Arkun,Y and Erman,B, “Prediction of Optimal Folding Routes of Proteins that Satisfy the Principle of Lowest
Entropy Loss: Dynamic Contact Maps and Optimal Control”, PloS ONE, 4:10, 2010.
72. Arkun,Y and Gur, M, “Combining Optimal Control Theory and Molecular Dynamics for Protein Folding”, PLoS
ONE 7(1), 2012.
73. Sildir, H., Arkun, Y., Cakal, B., Gokce, D., Kuzu, E., “A Dynamic Non-Isothermal Model for a Hydrocracking
Reactor: Model Development by the Method of Continuous Lumping and Application to an Industrial Unit”, J. of
Proc. Ctrl, (22), 1956-1965, 2012.
74. Sildir, H., Arkun, Y., Cakal, B., Gokce, D., Kuzu, E., “Plant-wide Hierarchical Optimization and Control of an
Industrial Hydrocracking Process”, J. of Proc. Ctrl, (23), 1229-1240, 2013.
75. Cizmeci, D and Arkun,Y., “Regulatory Networks and Complex Interactions Between the Insulin and Angiotensin II Signalling Systems: Models and Implications for Hypertension and Diabetes”, PloS ONE
10.1371/journal.pone.0083640, Dec.31, 2013.
76. Sildir, H, Arkun, Y, Canan, U, Celebi, S. Arani, U and Er, I., “Dynamic Modeling and Optimization of an Industrial
Fluid Catalytic Cracker”, J. of Proc. Ctrl, (31), 30-44, 2015.
77. Sildir, H, Arkun, Y, Ari, A, Dogan, I and Harmankaya, M., “Economic Model Predictive Control of an
Industrial Fluid Catalytic,” I&EC Research, 53 (45), pp 17696–17704. DOI: 10.1021/ie502271r, 2014.
78. Erdal A, A. D. Celebi, H. Sildir, Y. Arkun, U. Canan, G. Is, M. Erdogan, “Dynamic Modeling of an Industrial Diesel
Hydroprocessing Plant by the Method of Continuous Lumping,” Computers and Chemical Eng., 82, 44:54, 2015.
79. Arkun, Y, “Dynamic Modeling and Analysis of the Cross-Talk Between Insulin/AKT and MAPK/ERK Signaling Pathways”, PloS ONE, 11(3): e0149684. doi:10.1371/journal.pone.0149684, 2016.
80. Aydin, Erdal; Y. Arkun, Y; G. Is; M. Mutlu, M. Dikbas, “Plant-wide optimization and control of an industrial diesel hydroprocessing plant,” Computers and Chemical Eng., 87, 234:245, 2016.
81. Arkun Y, Yasemi M ,“Dynamics and control of the ERK signaling pathway: Sensitivity, bistability, and oscillations. PLoS ONE 13(4): e0195513. https://doi.org/10.1371/journal.pone.0195513, 2018.
82. Arkun, Y, “Modeling and Analysis of the Cross-talk between the AKT and ERK Signaling Pathway”.
IFAC -Papers online. Vol 52, 1,520:525, 2019. https://doi.org/10.1016/j.ifacol.2019.06.115.
83. Arkun, Y, “Detection of Biological Switches using the Method of Gröebner Bases”, BMC Bioinformatics,
https://doi.org/10.1186/s12859-019-3155-0, 20:615, 2019
C. Conference Proceedings
1. Morari, M., Arkun, Y. and Stephanopoulos, G., “An Integrated Approach to the Synthesis of Process Control
Structures,” Joint Automatic Control Conference (JACC) Proc.,pp. 243-253, 1978.
2. Stephanopoulos, G., Arkun, Y. and Morari, M., “Design of Optimizing Control Structures for Chemical Plants,”
ACS Symposium Series on Computer Applications to Chemical Engineering Process Design and Simulation,
pp.207, September,1979.
3. Arkun, Y. and Stephanopoulos, G., “Optimum Operation and Control of Chemical Plants via Constraint Control,”
JACC Proc., pp. 125-131, June, 1979.
4. Arkun, Y. and Stephanopoulos, G., “Optimizing Control of Industrial Chemical Processes: State of the Art
Review,” JACC Proc., August 1980.
5. Arkun, Y., Morari, M. and Stephanopoulos, G., “A Unified Approach to the Synthesis of Control Structures for
Complex Chemical Plants,” 12th Symposium on Computer Applications in Chemical Engineering, vol. II, pp. 1139-
1155, April 1979.
6. Arkun, Y., Putz, P. and Manousiouthakis, B., “Design of Robust Control Systems for Distillation Columns,” Advances in Instrumentation, ISA, pp. 621, 1983.
7. Arkun, Y. and Ramakrishnan, S., “Structural Sensitivity Analysis in Controller Synthesis,” American Control
Conference (ACC) Proc., p. 1109, June 1982.
8. Arkun, Y., “A New Approach to the Synthesis of Process Control Systems,” Pacific Chem. Eng. (PACHEC) IV.
Proc., p. III-90, Korea, May 1983.
9. Manousiouthakis, B. and Arkun, Y., “Robust Controller Design. A Hybrid Approach,” Am. Contr. Conf. Proc., pp.
1277-1282, June 1984.
10. Palazoglu, A. and Arkun, Y., “Controller Tuning via Singular Value Sensitivity Analysis,” Am. Contr. Conf. Proc., pp. 919-924, June 1984.
11. Manousiouthakis, B., Savage, B. and Arkun, Y., “Selection of Decentralized Process Control Structures,” Am. Contr. Conf. Proc., pp. 299-305, June1985.
12. Manousiouthakis, B. and Arkun, Y., “Design of Robust Decentralized Process Control Systems,” Am. Contr. Conf.
Proc., pp. 1304-1309, June1985.
13. Palazoglu, A. and Arkun, Y., “Studies on the Design of Robust Chemical Plants,” IChemE Symp. Series, no. 92,
pp. 457-469, 1985.
14. Arkun, Y. and Manousiouthakis, B., “Dynamic Block Relative Gain and its Role in The Design of Robust
Decentralized Control,” ACC Proc., pp. 11-17, 1986.
15. Arkun, Y. and Morgan,C., “Robustness Analysis of Distillation Control Schemes Using Structured Singular
Values,” ACC Proc., pp 1772-1777, June 1987.
16. Arkun, Y., “New Concepts in the Synthesis of Decentralized Control Structures: Block Relative Gain, Dynamic Block Relative Gain and the Relative Sensitivity,” ACC Proc., pp. 1331-1336, June 1987.
17. Calvet, J-P. and Arkun, Y., “Robust Control Design for Uncertain Nonlinear Systems Under Feedback
Linearization,” 28th IEEE CDC Proc., pp. 107-114, Florida, December, 1989.
18. Calvet, J. P. and Arkun, Y., “Stabilization of Feedback Linearized Nonlinear Processes Under Bounded
Perturbations,” Am. Contr. Cont. Proc., pp. 747-753, June 1989.
19. Arkun, Y., Hernandez, E., Peterson, T. and Schork, F. J., “Nonlinear Predictive Control of a Semi-Batch
Polymerization Reactor by an Extended DMC,” Am. Contr. Conf. Proc., pp. 1534-1540, June 1989.
20. Chiu, M. S. and Arkun, Y., “Parametrization of All Stabilizing IMC Controllers and a Sequential Design
Procedure,” Am. Contr. Conf. Proc., pp. 554-560, June 1989.
21. Calvet, J-P. and Arkun, Y., “A Lyapunov Approach to Stabilize Feedback Linearized Nonlinear Systems with
Disturbances,” IFAC Symposium Proceedings on Nonlinear Control Systems Design, Capri, Italy, June 14-16, 1989.
22. Chiu, M. S. and Arkun, Y., “A Approach for Sequential Design of Decentralized Control Systems,” ACC Proc.,
pp. 2140-2141, May 1990.
23. Hernandez, E. and Arkun, Y., “Neural Network Modeling and an Extended DMC Algorithm to Control Nonlinear Systems,” ACC Proc., pp. 2454-2460, May 1990.
24. Chiu, M-S. and Arkun,Y., “A New Result on Relative Gain Array, Niederlinski Index and Decentralized
Stability Condition: 2×2 Plant Cases”, BILCON Conf. on. Communication, Control and Signal Processing,
Ankara, Turkey, pp 850-857, July 1990.
25. Chiu, M-S. and Arkun,Y., “ A Methodology for Sequential Design of Robust Decentralized Control
Systems,” ACC Proceedings, pp 1836-1842, June 1991.
26. Kravaris, C. and Arkun, Y., “Geometric Nonlinear Control-an Overview,” Proceedings of CPC IV, pp 477-515
South Padre, Texas, February, 1991.
27. Hernandez, E. and Arkun, Y., “A Nonlinear DMC Controller: Some Modeling and Robustness
Considerations,” ACC Proceedings, pp 2355-2361, June 1991.
28. Hook, B. D., Littman, H., Morgan , M.H. III. and Arkun, Y., “A Priori Modeling of an Adiabatic Spouted Bed
Catalytic Reactor,” Third International Symp. on Spouted Beds, Vancouver, 1991.
29. Simminger,J., Hernandez, E., Arkun,Y. and Schork, F. J., “A Constrained Multivariable Nonlinear Model
Predictive Controller Based on Iterative QDMC,” IFAC International Symposium ADCHEM’91, Toulouse,
France, Oct. 1991.
30. Ogunnaike , B. A., Chien, I-Lung and Arkun, Y., “Nonlinear Model Predictive Control of High Purity Distillation
Columns Using Polynomial ARMA Models”, European Control Conference, Netherlands, 1993
31. Banerjee, A., Arkun,Y., Ogunnaike, B. A. and Pearson, R., “H-infinity Control of Nonlinear Processes
Using Multiple Linear Models”, European Control Conference, Rome, Italy, 1995.
32. Sriniwas, G. R., Banerjee, A., Arkun,Y., and Schork, F. J., “Control of the Tennessee Eastman Plant in Multiple
Modes Using MPC”, European Control Conference, Rome, Italy, 1995.
33. F. Kayihan, M. S. Gelormino, E. M. Hanczyc, F. J. Doyle III and Y. Arkun, “A Kamyr Continuous Digester Model
for Identification and Controller Design,” Proc. of the 13th IFAC World Congress, San Francisco, 30 June-5 July,
1996.
34. Rigopoulos, A. and Arkun, Y., “Pricipal Component Analysis in Estimation and Control of Paper Machines”,
ESCAPE-6, Europian Sysmposium on Computer Aided Process Engineering, Rhodes, Greece, May, 1996.
35. Rigopoulos, A., Arkun, Y. and Kayihan, F., “Control Relevant Disturbance Modeling of Paper Machine Full Profile Properties”, Control Systems-96, Halifax, Canada, April 29-May 2, 1996.
36. Rigopoulos, A., Arkun, Y. and Kayihan, F., “ Control Relevant Disturbance Modeling of Paper Machine Full Profile Properties Using Adaptive PCA, “. Control Systems’96, pp. 35-39, Halifax, Canada, May,
37. Rigopoulos, A., Arkun, Y. and Kayihan, F., “Full CD Profile Control of Sheet Forming Processes using Adaptive
PCA and Reduced Order MPC Design”, ADCHEM97 pp 396-401, Banff, Canada, June, 1997.
38. Rigopoulos, A., Arkun, Y. and Kayihan, F., “ Model Predictive Control of CD Profiles in Sheet Forming Processes using Full Profile Disturbance Models Identified by Adaptive PCA,” ACC Proc., pp 1468-1472, June, 1977.
39. Wisnewski, P. A., Doyle III, J. F, Kayihan, F. and Arkun, Y., “Measurement Selection for Model Predictive Control
of the Weyerhaeuser Benchmark Digester Problem”, ADCHEM97, pp 383-388, Banff, Canada, June, 1997.
40. Banerjee, A. and Y. Arkun, “Model Predictive Control of Plant Transitions using a New Identification Technique
for Interpolating Nonlinear Models,” ADCHEM97, pp 547-552, Banff, Canada, June, 1997.
41. Rigopoulos, A., Arkun, Y. , Kayihan, F. and Hanczyc, E. M., “Identification of Paper Machine Full Profile Disturbance Modes
Using Adaptive Principle Component Analysis”, Chemical Process Control (CPC V), (J. Kantor, Ed.), AIChE Symp. Ser, Vol 93, 1997.
42. Rigopoulos, A., Arkun, Y. and F. Kayihan, “Full CD Profile Control of Sheet Forming Processes using Adaptive
PCA and Reduced Order MPC Design”, ADCHEM97, Banff, Canada, June, 1997.
43. Rigopoulos, A. and Arkun, Y., “The use of CVA towards identification of dynamic models for control of sheet
forming processes. A comparison with PCA-(V) AR modeling,” Annual AIChE Meeting., Miami Beach, FL, Nov., 1998.
44. Rigopoulos, A. and Arkun, Y., “Reduced order MPC design for CD profile control of sheet forming processes: handling of actuator constraints and performance loss,” Annual AIChE Meeting., Miami Beach, FL, Nov., 1998.
45. Kayihan, F., Arkun,Y. and F. J. Doyle, “On-line visualization and monitoring of pulping and paper making processes”, Control Systems, , Finland, 1998.
46. Yaohui Lu and Yaman Arkun, Infinite Horizon Model Predictive Control Algorithms for Polytopic Linear Parameter Varying Systems, presented in Annual AIChE Meeting Meeting, Miami, FL, November, 1998.
47. Yaohui Lu and Yaman Arkun, A Quasi-Linear Approach to Nonlinear Model Predictive Control, presented in Annual AIChE Meeting meeting, November, Dallas, TX 1999.
48. Yaohui Lu and Yaman Arkun, “A Scheduling Quasi-min-max Model Predictive Controller for LPV
Systems,” Proceedings of American Control Conference, Pages 2272-2276, San Diego, CA, June 1999.
46. Galan, O, J.A. Romagnoli, Y. Arkun, and A. Palazoglu, “On the use of gap metric for model selection in multi-linear model-based control,” ACC Proceedings, pp. 3742-3746, June, 2000.
47. Galán, O., J.A. Romagnoli, Y. Arkun, A. Palazoglu, “Use of Gap Metric for Model Selection in Multi-Model Based
Control Design: An Experimental Case Study of pH Control”, Proceedings of European Symposium on Computer Aided Design Engineering – 10, S. Pierucci (Editor), pp. 211-216, June, 2000.
49. Yaohui Lu and Yaman Arkun, “Polytope Updating in Quasi-min-max MPC Algorithms,” Proceedings of
ADCHEM, Pisa, Italy, June, 2000.
50. Yaohui Lu and Yaman Arkun, “A Quasi-min-max MPC Algorithm for Linear Parameter Varying Systems with Bounded Rate of Change of Parameters,” Proceedings of American Control Conference, Chicago, IL, June 2000
51. O. Galan, J. A. Romagnoli, Y. Arkun and A. Palazoglu, Real-Time Validation of Multi-linear Model-Based Control Strategies. Application to a Bench-Scale Neutralization Reactor, Proceedings of American Control Conference, ACC, Arlington, Virginia, June, 2001.
52. Y. Lu and Y. Arkun, “Scheduling Quasi-minmax Model Predictive Control Algorithm for Nonlinear Systems Based on Combination of Linear Models and Linear Parameter Varying Models”, Proc. of European Control Conference ECC 2001, pp. 3741-3746, Porto, Portugal, Sept. 2001.
53. T. McAvoy, R. Chen, Y. Arkun, D. Robinson and P. D. Schnelle, “A New Approach to defining a Dynamic Relative Gain”, Proc. of Dynamics and Control of Process Systems, DYCOPS’6, Cheju Island, Korea, June 3-6, 2001.
54. Lu, Y., Arkun, Y. and Palazoğlu, A., “Real-time Application of Scheduling Quasi-Minmax Model Predictive Control to a Bench-Scale Neutralization Reactor,” ADCHEM Jan. 2004, Hong Kong .
55. Galan, O., Romagnoli, J.A.,Palazoğlu, A. and Arkun, Y., “Experimental Verification of GAP Metric as a Tool for
Model Selection in Multi-Linear-Model-Based Control,” ADCHEM Jan. 2004, Hong Kong .
56. Aslan, E., Çamurdan, M., Palazoğlu, A. and Arkun, Y., “Multi-Model Scheduling Control of Nonlinear Systems Using Closed-Loop Gap Metric”, American Control Conference, Boston, June 2004.
57. Palazoglu, A., Arkun, Y., Erman, B. and Gürsoy, A, “Protein Folding as a Challange for Systems
Biology”, FOSBE (Foundations of Systems Biology in Engineering), Proc. pp. 349-354, Stuttgart,
June, 2007. 58. Palazoglu, A., Arkun, Y., Erman, B. and Gürsoy, A, “Probing Protein Folding Dynamics Using Multivariate Statistical Techniques”, ADCHEM09 Proceedings, 171-176, İstanbul, July, 2009.
59. Özal, T, Arkun, Y. and Erman, B, “Kaba Ölçekli Optimal Kontrol ve Geri Beslemeli Moleküler Dinamik Yöntemiyle Protein Katlanma Dinamiğinin Analizi”, Ulusal Kimya Mühendisliği Kongresi, pp.167-168, 22-25 Haziran 2010.
60. Arkun, Y. and Gür, Mert, “Protein Folding Using Coarse-Grained Optimal Control and Molecular Dynamics”,
IFAC World Congress, Milano, Italy, 14213-14216, Aug. 28-Sept. 2, 2011.
61. Canan, U. and Arkun, Y, “ Steady-State Modeling of An Industrial Hydrocracking Reactor by Discrete Lumping
Approach”, International Conference on Modeling, Simulation and Control ICMSC’12, San Francisco, Oct. 24,
2012.
62. Aydın, E., Arkun, Y. and Is, G, “Economic Model Predictive Control (EMPC) of an Industrial Diesel
Hydroprocessing Plant”,11th IFAC Symposium on Dynamics and Control of Process Systems, including
Biosystems, DYCOPS-CAB 2016.
63. Arkun, Y, “Modeling and Analysis of Gab1 Mediated Feedback Loops to Understand Gab’s Role in Erk-Akt
Signaling and Cancer”, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, pages 2939-2942, 23 – 27 July 2019.